Results 71 to 80 of about 2,110,679 (304)

Sensors and Sensing for Intelligent Vehicles

, 2020
Over the past decades, both industry and academy have made enormous advancements in the field of intelligent vehicles, and a considerable number of prototypes are now driving our roads, railways, air and sea autonomously.
Iván García Daza, Ignacio Parra Alonso, David Fernández Llorca, Noelia Hernández Parra   +3 more
core   +1 more source

Multi-Resolution Prediction Model Based on Community Relevance for Missing Links Prediction

IEEE Access, 2020
The existing research demonstrates that the link prediction algorithm which based on community similarity has better prediction performance than that of other node similarity-based methods, and it is more suitable for predicting the probability of the ...
Jingyi Ding, Jian Song, Licheng Jiao, Jianshe Wu, Fang Liu   +4 more
doaj   +1 more source

Negative Perceptions of Outsourcing to Artificial Intelligence

Computers in Human Behavior
As artificial intelligence (AI) tools become increasingly integrated into daily life, people are beginning to outsource not only professional tasks but also socio-relational ones. Large language models like ChatGPT can generate wedding vows, speeches, and personal messages, raising questions about how individuals who use AI for such tasks are perceived
Scott Claessens, Pierce Veitch, Jim A. C. Everett   +2 more
openaire   +2 more sources

Intelligibility improves perception of timing changes in speech

PLOS ONE, 2022
Auditory rhythms are ubiquitous in music, speech, and other everyday sounds. Yet, it is unclear how perceived rhythms arise from the repeating structure of sounds. For speech, it is unclear whether rhythm is solely derived from acoustic properties (e.g., rapid amplitude changes), or if it is also influenced by the linguistic units (syllables, words ...
Zoefel, Benedikt, Gilbert, Rebecca A, Davis, Matthew H   +2 more
openaire   +6 more sources

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Discriminative Sketch Topic Model With Structural Constraint for SAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Synthetic aperture radar (SAR) image classification is an important part in the understanding and interpretation of SAR images. Each patch in SAR images has a scene category, but usually contains multiple land-cover classes or latent properties, which ...
Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang   +5 more
doaj   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Intelligent student systems : an application of viewpoints to intelligent learning environments [PDF]

, 1993
Intelligent Student Systems are a class of Intelligent Learning Environments that place the learner in the role of a tutor rather than a student.
Nichols, D.M, David M. Nichols, Nichols, David, Self, John   +3 more
core  

Advanced Intelligent Control through Versatile Intelligent Portable Platforms

, 2020
Deep research and communicating new trends in the design, control and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this research.
Luige Vladareanu
core   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source